byted-mediakit-video
Process and Analyze Video with MediaKit
Complex video workflows often require separate tools and manually assembled commands. This skill selects MediaKit capabilities, builds valid CLI calls, and guides asynchronous result retrieval.
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "byted-mediakit-video" from https://skillstore.io/skills/volcengine-byted-mediakit-video.md and its manifest at https://skillstore.io/api/skills/volcengine-byted-mediakit-video/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「byted-mediakit-video」を使用しています。 Inspect the metadata of a public training video and summarize its technical properties.
期待される結果:
The inspection task completed. The report lists container format, duration, resolution, frame rate, bitrate, and video and audio codecs.
「byted-mediakit-video」を使用しています。 Create Chinese speech subtitles with speaker labels and confidence scores.
期待される結果:
- The transcription job was submitted and tracked to completion.
- The result contains timestamped subtitle segments, detected speakers, and confidence values.
「byted-mediakit-video」を使用しています。 Find gameplay highlights and create an edited promotional video.
期待される結果:
The completed result identifies key gameplay moments and provides the generated highlight video with supporting clip information.
セキュリティ監査
中リスクThe static alerts are false positives caused by placeholders, Markdown formatting, documented configuration paths, and dense Chinese text. No prompt injection or malicious intent was found. Three medium risks remain: automatic cloud upload of local media, unpinned global package installation, and API keys in command arguments.
確認済みのセキュリティ上の懸念 (3)
リスク要因
🌐 ネットワークアクセス (14)
📁 ファイルシステムへのアクセス (6)
🔑 環境変数 (2)
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/volcengine-byted-mediakit-video/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/volcengine-byted-mediakit-video?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/volcengine-byted-mediakit-video?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/volcengine-byted-mediakit-video/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/volcengine-byted-mediakit-video.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学術引用 (APA · BibTeX · CFF)
APA形式の引用
volcengine. (2026). byted-mediakit-video security audit report (audit version 1) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/volcengine-byted-mediakit-video/audits/1BibTeX形式の引用
@techreport{volcengine-volcengine-byted-mediakit-video-2026,
author = {volcengine},
title = {byted-mediakit-video security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/volcengine-byted-mediakit-video/audits/1},
note = {Author version 1.0.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "byted-mediakit-video security audit report (audit version 1)"
version: "1.0.0"
type: report
authors:
- name: "volcengine"
date-released: "2026-08-19"
url: "https://skillstore.io/skills/volcengine-byted-mediakit-video/audits/1"
identifiers:
- type: other
value: "skillstore:volcengine-byted-mediakit-video:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
Prepare Accessible Video
Generate timed speech subtitles or extract visible on-screen text for review and localization.
Create Promotional Highlights
Find strong drama or gameplay moments and produce structured highlight selections or edited outputs.
Automate Media Quality Checks
Inspect metadata, detect scene boundaries, and submit enhancement jobs within repeatable media pipelines.
これらのプロンプトを試す
Use MediaKit to inspect the metadata for [video URL]. Report resolution, frame rate, bitrate, codecs, duration, and any processing constraints.
Generate [language] subtitles from [video or audio URL]. Enable speaker labels and confidence scores, then retrieve the completed task result.
Enhance [video URL] for the [scene type] scenario at [resolution], then segment scenes between [minimum] and [maximum] seconds.
Analyze [video URLs] using the [drama or game] model. Define highlight criteria, preserve one client token per retry, poll completion, and summarize outputs.
ベストプラクティス
- Confirm cloud processing and local-file upload with the user before submitting private or licensed media.
- Reuse the same client token for retries, and create a new token only for an intentional rerun.
- Check each capability's input limits, supported formats, execution mode, and mutually exclusive parameters before submission.
回避
- Do not place API keys directly in prompts, command arguments, logs, or callback values.
- Do not submit inaccessible URLs or assume every capability supports local execution.
- Do not repeatedly create new tasks while an existing asynchronous task is still processing.
よくある質問
Does this skill process video locally?
What credentials are required?
Can I provide a local media file?
Why does the first command return only a task identifier?
Which video analysis features are available?
How should failed jobs be retried?
開発者情報
作成者
volcengineライセンス
MIT
作者バージョン
v1.0.0
Skillstore リビジョン
r1
参照
f7415d4390ac2e2fc9cd079e9ca2d7b53b77cf0d
メンテナンスの新しさ
2026/8/19
利用状況
0 ダウンロード · 0 閲覧